Expert Oracle Exadata - Parent Directory

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CHAPTER 16 UNLEARNING SOME THINGS WE THOUGHT WE KNEWSYS@SANDBOX1> select count(*) from kso.skew3;COUNT(*)----------384000048Elapsed: 00:00:50.11SYS@SANDBOX1> alter session set cell_offload_processing=true;Session altered.Elapsed: 00:00:00.06SYS@SANDBOX1> select count(*) from kso.skew3;COUNT(*)----------384000048Elapsed: 00:00:26.12Elapsed: 00:00:00.04SYS@SANDBOX1> alter table kso.skew3 STORAGE (CELL_FLASH_CACHE KEEP);Table altered.Elapsed: 00:00:00.07SYS@SANDBOX1> select count(*) from kso.skew3;COUNT(*)----------384000048Elapsed: 00:00:28.74SYS@SANDBOX1> select count(*) from kso.skew3;COUNT(*)----------384000048Elapsed: 00:00:09.46SYS@SANDBOX1> /COUNT(*)----------384000048Elapsed: 00:00:08.06SYS@SANDBOX1> alter table kso.skew3 STORAGE (CELL_FLASH_CACHE DEFAULT);Table altered.527
CHAPTER 16 UNLEARNING SOME THINGS WE THOUGHT WE KNEWElapsed: 00:00:00.21SYS@SANDBOX1> select count(*) from kso.skew3;COUNT(*)----------384000048Elapsed: 00:00:26.10In this example we turned off Smart Scans and did a query without a WHERE clause. The query took 50seconds. We then enabled Smart Scans and ran the query again. This time the query took only 26seconds. Next we altered the table, telling Oracle that we wanted ESFC to be more aggressive in cachingthis table (CELL_FLASH_CACHE KEEP). We then executed the statement again; this did not result in animprovement in performance, because the table’s blocks were not stored in ESFC at that point. Thesubsequent executions, though, took only 8 to 9 seconds, showing the benefit of the caching. Finally, wedisabled the aggressive caching and the statement execution returned to 26 seconds. This short exampleshows that making use of ESFC for offloaded queries can have a significant impact on performance.CompressionExadata’s HCC is a big step forward in its ability to reduce the size of data stored inside of Oracledatabases. The compression ratios that are achievable with HCC turn the concept of informationlifecycle management on its head. HCC makes it practical to consider using compression instead oftiered storage or archiving and purging strategies. Because partitions of a table can be defined to usedifferent compression methods, the combination of partitioning and compression can provide a muchmore robust solution for “archiving” data than actually purging it from the database.You should remember, though, that HCC it is not appropriate for data that is being actively updated.A better approach is to partition data such that HCC can be applied to data that is no longer beingchanged. This leads us to the next topic, partitioning.PartitioningPartitioning is still a very key component for data warehousing systems. The optimizations provided byExadata do not alleviate the need for a well-thought-out partitioning strategy. Of course, date-basedstrategies are very useful from a management standpoint. Being able to use more aggressivecompression on older data is often a good approach. But partition elimination is still a technique thatyou will want to use. And of course, storage indexes can work well with partitioning, providing behaviorcomparable to partition elimination on additional columns.You should keep in mind that the sizes of partitions can affect Oracle’s decision to use Smart Scans.When performing a serial scan on a partitioned object, the decision to do direct path reads is based onthe individual partition size, not the overall size of the object. This can result in situations where scans ofsome partitions are offloaded, while scans of others are not.Mixed WorkloadsThere is a third type of system that is a combination of the other two. In fact, we could argue that theother two (OLTP and DW) rarely exist in the real world. There are many systems that don’t fall neatly528
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IntroductionThank you for purchasin
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INTRODUCTIONwere implementing Exada
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C H A P T E R 2Offloading / Smart S
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CHAPTER 2 OFFLOADING / SMART SCANR
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CHAPTER 2 OFFLOADING / SMART SCANS
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C H A P T E R 3Hybrid Columnar Comp
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CHAPTER 3 HYBRID COLUMNAR COMPRESS
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C H A P T E R 4Storage IndexesStora
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CHAPTER 4 STORAGE INDEXESMonitorin
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CHAPTER 4 STORAGE INDEXES---------
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C H A P T E R 5Exadata Smart Flash
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CHAPTER 5 EXADATA SMART FLASH CACH
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C H A P T E R 6Exadata Parallel Ope
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CHAPTER 6 MAKING PCBSParameter Def
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CHAPTER 6 MAKING PCBSTable 6-2. Hi
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CHAPTER 6 MAKING PCBSSo as you can
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CHAPTER 7 RESOURCE MANAGEMENTimpor
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C H A P T E R 8Configuring ExadataO
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CHAPTER 9 RECOVERING EXADATAprovid
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CHAPTER 10 EXADATA WAIT EVENTSSYS@
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CHAPTER 10 EXADATA WAIT EVENTScell
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C H A P T E R 11Understanding Exada
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CHAPTER 12 MONITORING EXADATA PERF
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CHAPTER 13 MIGRATING TO EXADATA Ke
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C H A P T E R 14Storage LayoutIn Or
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CHAPTER 14 STORAGE LAYOUTFailure G
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Page 512 and 513: C H A P T E R 16Unlearning Some Thi
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Page 536 and 537: A P P E N D I X ACellCLI and dcliCe
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Page 546 and 547: A P P E N D I X BOnline Exadata Res
Page 548 and 549: A P P E N D I X CDiagnostic Scripts
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Page 552 and 553: Index• AAccess control list (ACL)
Page 554 and 555: • INDEXnetwork componentsclient a
Page 556 and 557: • INDEX• Epredicate offload, 36
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Page 562 and 563: • INDEXstructure, 105sub-query, 1
Page 564 and 565: Expert Oracle Exadatan n nKerry Osb
Page 566 and 567: Contents• About the Authors......
Page 568 and 569: • CONTENTSHow to Verify That Smar
Page 570 and 571: • CONTENTSControlling ESFC Usage
Page 572 and 573: • CONTENTSSummary ...............
Page 574 and 575: • CONTENTS• Chapter 12: Monitor
Page 576 and 577: • CONTENTS• Chapter 16: Unlearn
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About the Technical Reviewer Kevin
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